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68 results about "Subtyping" patented technology

In programming language theory, subtyping (also subtype polymorphism or inclusion polymorphism) is a form of type polymorphism in which a subtype is a datatype that is related to another datatype (the supertype) by some notion of substitutability, meaning that program elements, typically subroutines or functions, written to operate on elements of the supertype can also operate on elements of the subtype. If S is a subtype of T, the subtyping relation is often written S <: T, to mean that any term of type S can be safely used in a context where a term of type T is expected. The precise semantics of subtyping crucially depends on the particulars of what "safely used in a context where" means in a given programming language. The type system of a programming language essentially defines its own subtyping relation, which may well be trivial should the language support no (or very little) conversion mechanisms.

External system integration into automated attribute discovery

Methods and apparatus to transform attribute data about assets in a source system data model into attribute data about the same assets in a target system data model. The first step is to extract the necessary attribute data from attribute data collected about inventory assets of a business entity needed to populate the attributes in objects representing those inventory assets in a target system data model. Transformation rules are written which are designed to make all conversions necessary in semantics, units of measure, etc. to transform the source system attribute data into attribute data for the target system which has the proper data format. These transformation rules are executed on a computer on the extracted attribute data and the transformed attribute data is stored in an ER model. In the preferred embodiment, the transformation rules are object-oriented in that transformation rules for subtypes can be inherited from their parent types or classes. An export adapter which is capable of invoking the application programmatic interface of the target system CMDB is then used to export the transformed attribute data stored in the ER model to the target system CMDB. A heuristic method to create self-consistent data blocks without exceeding a maximum size limit involves loading instances of entity types and all related instances in the order of decreasing connectivity metric.
Owner:PANWAR RAJENDRA BHAGWATISINGH +1

Small cell lung carcinoma biomarker panel

The invention relates generally to the field of cancer detection, diagnosis, subtyping, staging, prognosis, treatment and prevention. More particularly, the present invention relates to methods for the detection, and / or diagnosing and / or subtyping and / or staging of lung cancer in a patient. Based on a particular panel of biomarkers, the present invention provides methods to detect, diagnose at an early stage and / or differentiate small cell lung cancer (SCLC) from non-small cell lung cancer (NSCLC) and within NSCLC to differentiate between squamous cell carcinomas (SCC), adenocarcinomas (AC), within SCC to discriminate G2 and G3 stage and within lung cancer to differentiate for lung cancers with or without neuroendocrine origin. It further provides the use of said panel of biomarkers in monitoring disease progression in a patient, including both in vitro and in vivo imaging techniques. The in vitro imaging techniques typically include an immunoassay detecting protein or antibody of the biomarkers on a sample taken from said patient, e.g. serum or tissue sample. The in vivo imaging techniques typically include chest radiographs (X-rays), Computed Tomography (CT) imaging, spiral CT, Positron Emission Tomography (PET), PET-CT and scintigraphy for molecular imaging and diagnosis and to monitor disease progression and treatment response in patients. It is accordingly a further aspect to provide a kit to perform the aforementioned diagnosing and / or subtyping and / or staging assay and the imaging techniques, comprising reagents to determine the gene expression or protein level of the aforementioned panel of biomarkers for in vitro and in vivo applications.
Owner:MUBIO PRODS BV

Small cell lung carcinoma biomarker panel

The invention relates generally to the field of cancer detection, diagnosis, subtyping, staging, prognosis, treatment and prevention. More particularly, the present invention relates to methods for the detection, and / or diagnosing and / or subtyping and / or staging of lung cancer in a patient. Based on a particular panel of biomarkers, the present invention provides methods to detect, diagnose at an early stage and / or differentiate small cell lung cancer (SCLC) from non-small cell lung cancer (NSCLC) and within NSCLC to differentiate between squamous cell carcinomas (SCC), adenocarcinomas (AC), within SCC to discriminate G2 and G3 stage and within lung cancer to differentiate for lung cancers with or without neuroendocrine origin. It further provides the use of said panel of biomarkers in monitoring disease progression in a patient, including both in vitro and in vivo imaging techniques. The in vitro imaging techniques typically include an immunoassay detecting protein or antibody of the biomarkers on a sample taken from said patient, e.g. serum or tissue sample. The in vivo imaging techniques typically include chest radiographs (X-rays), Computed Tomography (CT) imaging, spiral CT, Positron Emission Tomography (PET), PET-CT and scintigraphy for molecular imaging and diagnosis and to monitor disease progression and treatment response in patients. It is accordingly a further aspect to provide a kit to perform the aforementioned diagnosing and / or subtyping and / or staging assay and the imaging techniques, comprising reagents to determine the gene expression or protein level of the aforementioned panel of biomarkers for in vitro and in vivo applications.
Owner:MUBIO PRODS BV
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